1,118 research outputs found
SISTEM PENDETEKSI CACAT TELUR BERBASIS JARINGAN SYARAF TIRUAN
No full textTelah dibuat perangkat lunak pendeteksi cacat telur berbasis jaringan syaraf tiruan. Perangkat lunak tersebut ditulis menggunakan bahasa pemrograman Visual Basic dan mampu mendeteksi cacat telur. Ada dua macam cacat yang dapat dideteksi: cacat tampak luar dan cacat dalam. Cacat tampak luar adalah cacat yang dapat diamati dengan mata telanjang. Cacat dalam adalah sesuatu yang berada didalam telur yang menyebabkan telur tersebut dikatakan cacat, biasanya bercak darah. Untuk mendeteksi cacat telur maka telur yang akan dideteksi disinari dengan cahaya yang cukup kuat. Telur yang disinari tersebut ditangkap gambarnya memakai kamera yang terhubung dengan komputer dan dikendalikan oleh komputer. Selanjutnya citra telur tersebut diolah dengan metode pengolahan citra digital untuk mendapatkan fitur tertentu. Fitur tersebut kemudian diolah dengan jaringan syaraf tiruan untuk menentukan cacat / tidaknya telur. Perangkat lunak yang dibuat diuji menggunakan 62 data telur. Dari data tersebut 39 adalah telur yang baik, 2 telur dengan cacat dalam dan sisanya adalah telur dengan cacat luar. Hasil penelitian menunjukkan bahwa cacat permukaan dapat dideteksi dengan ketelitian diatas 90%. Cacat dalam dapat dideteksi 100%, tetapi datanya sangat tidak mencukupi
Personal Branding Agus Harimurti Yudhoyono Melalui Media Sosial Youtube @AgusYudhoyono
Get PDF Indonesia will hold presidential and parliamentary elections in 2024 at both national and regional levels. Agus Harimurti Yudhoyono is one of the presidential candidates in the 2024-2029 elections. In political years where this, as done by Agus Harimurti Yodhoyono, will have a significant influence on the support of the Indonesian people, personal branding is an important component in the success of the plan. The development of information technology and the use of social media as a tool for developing personal branding is currently impossible to resist. Agus Harimurti Yudhoyono uses YouTube, a social media platform, to develop personal branding to attract the interest of the younger generation. The purpose of this research is to find out more about Agus Harimurti Yudhoyono's personal branding strategy on YouTube. By using foundations such as personal branding, agenda setting, framing and dramaturgy. The author uses qualitative research techniques. Framing analysis will be replaced by research that focuses on issues related to Agus Harimurti Yudhoyono's personal branding. Based on the findings of this study, personal branding, framing, and dramaturgy produce personal branding developed by Agus Harimurti Yudhoyono's management through YouTube social media which has formed a realistic personal branding. As a result, Agus Harimurti Yudhoyono's personal branding has become realistic
TA : Pembuatan Film Bergenre Drama Berunsur Komedi Farce dengan Plot Linear Circular Yang Berjudul "Agus"
Get PDFThe film is a live picture, also often called a movie. Film, collectively, often called cinema. Cinema itself is derived from the word cinematic or motion. So the sense of motion is painting with light. The author makes a comedy movie using Circular Linear plot as the plot. The method used was the story begins from conception, data collection techniques of filming and editing videos.
Before authors begin filming this, the authors conducted several research methods, such as literature, namely by looking for books related to the movie-making process. Moreover, the authors also conducted an analysis of some of the films made in reference to the character creation as well as analyzing the properties commonly used in a comedy movie.
Film "AGUS" tells about the life of a young person who wanted to try his fortune village in the city. Are then faced with a dilemma, in which he must decide wisely over what happened.
The process of making this film started pre-production process that begins with the design work of ideas and concepts. Writers develop it into a movie by using the techniques of filmmaking in general.
This film uses a video editing software on finalizing, it will also facilitate the task of the writer in perfecting. Finally, the hope of the author of the final report will be the best, so it can be a role model for others, both technical and moral message contained in the film, and through this work, the author is able to provide different entertainment that could shift the interest of the film market film eroticism to quality films
TA : Pembuatan Film Bergenre Drama Berunsur Komedi Farce dengan Plot Linear Circular Yang Berjudul "Agus"
Get PDFThe film is a live picture, also often called a movie. Film, collectively, often called cinema. Cinema itself is derived from the word cinematic or motion. So the sense of motion is painting with light. The author makes a comedy movie using Circular Linear plot as the plot. The method used was the story begins from conception, data collection techniques of filming and editing videos.
Before authors begin filming this, the authors conducted several research methods, such as literature, namely by looking for books related to the movie-making process. Moreover, the authors also conducted an analysis of some of the films made in reference to the character creation as well as analyzing the properties commonly used in a comedy movie.
Film "AGUS" tells about the life of a young person who wanted to try his fortune village in the city. Are then faced with a dilemma, in which he must decide wisely over what happened.
The process of making this film started pre-production process that begins with the design work of ideas and concepts. Writers develop it into a movie by using the techniques of filmmaking in general.
This film uses a video editing software on finalizing, it will also facilitate the task of the writer in perfecting. Finally, the hope of the author of the final report will be the best, so it can be a role model for others, both technical and moral message contained in the film, and through this work, the author is able to provide different entertainment that could shift the interest of the film market film eroticism to quality films
POS Tagging Bahasa Indonesia Dengan HMM dan Rule Based
No full textThe research conduct a Part of Speech Tagging (POS-tagging) for text in Indonesian language, supporting another process in digitising natural language e.g. Indonesian language text parsing. POS-tagging is an automated process of labelling word classes for certain word in sentences (Jurafsky and Martin, 2000). The escalated issue is how to acquire an accurate word class labelling in sentence domain. The author would like to propose a method which combine Hidden Markov Model and Rule Based method. The expected outcome in this research is a better accurary in word class labelling, resulted by only using Hidden Markov Model. The labelling results –from Hidden Markov Model– are refined by validating with certain rule, composed by the used corpus automatically. From the conducted research through some POST document, using Hidden Markov Model, produced 100% as the highest accurary for identical text within corpus. For different text within the referenced corpus, used words subjected in corpus, produced 92,2% for the highest accurary.</jats:p
METODE PENYIMPANAN BAHAN MAKANAN DI KABOBS PREMIUM KEBAB SURABAYA
Get PDFThe purpose of writing this final project is to determine the method of
storing food ingredients in Kabobs Premium Kebab Surabaya. The author makes
observations and carries out work as a crew outlet at Kabobs Premium Kebab
Surabaya. The author can conclude that the method of storing foodstuffs at
Kabobs Premium Kebab Surabaya has fulfilled food storage standards, which
include storage methods in the Freezer for the perishable material category,
Chiller or Refrigerator for the semi-perishable ingredient category, and Dry
Storage or dry temperature for the perishable material category. non-perishable
material category
Sistem Verifikasi Tanda Tangan Off-Line Berdasar Ciri Histogram Of Oriented Gradient (HOG) Dan Histogram Of Curvature (HoC)
Get PDFAbstrak Tanda tangan dengan sifat uniknya merupakan salah satu dari sekian banyak atribut personal yang diterima secara luas untuk verifikasi indentitas seseorang, alat pembuktian kepemilikan berbagai transaksi atau dokumen di dalam masyarakat. Keberhasilan penggunaan ciri gradien dan curvature dalam bidang-bidang penelitian pengenalan pola dan bahwa tanda tangan dapat dikatakan merupakan hasil tulisan tangan yang tersusun atas beragam garis dan lengkungan (curve) yang memiliki arah atau orientasi merupakan alasan bahwa kedua ciri tersebut digunakan sebagai metoda verifikasi tanda tangan offline di penelitian ini. Berbagai implementasi dari pre-processing, ekstraksi dan representasi ciri, dan pembelajaran SVM serta usaha perbaikan yang telah dilakukan dalam penelitian ini menunjukkan hasil bahwa ciri HOG dan HoC mampu dimanfaatkan dalam proses verifikasi tanda tangan secara offline. Pada basis data GPDS960Signature, HOG dan HoC yang dihitung pada ukuran sel 30 x 30 piksel memberikan dengan nilai %FRR terbaik 26,90 dan %FAR 37,56. Sedangkan pada basis data FUM-PHSDB, HOG dn HoC yang dihitung pada ukuran 60 x 60 piksel memberikan nilai %FRR terbaik 4 dan %FAR 57. Kata kunci: verifikasi tanda tangan, curvature, orientation, gradient, histogram of curvature (HoC), histogram of oriented gradient (HOG) Abstract Signature with unique properties is one of the many personal attributes that are widely accepted to verify a person\u27s identity, proof of ownership transactions instrument or document in the community. The successful use of gradient and curvature feature in the research fields of pattern recognition is the reason that both of these features are used as an offline signature verification method in this study. Various implementations of preprocessing, feature extraction and representation, and SVM learning has been done in the study showed results that HOG and HoC feature can be utilized in the process of offline signature verification. HOG and HOC calculated on a combination of two different cell sizes at a time. Improvement effort has been made and showed the expected results, although of little value. HOG and HOC calculated on a such cell sizes at a time. In database GPDS960Signature, best cell size is in 30 with the value 26.90% FRR and FAR 37.56%. While the database FUM-PHSDB, the best cell size is 60 with a value of 4% FRR and FAR 57%. Keywords: signature verification, curvature, orientation, gradient, a histogram of curvature (HOC), a histogram of oriented gradient (HOG
Ut pictura poësis. L'iconografia del Cupido Giustiniani di Caravaggio e la poesia classica
No full textThe Cupid, also known as Amor Vincit Omnia, painted by Caravaggio in the first half of 1602 for Vincenzo Giustiniani in Rome, is one of the best-known paintings by the Lombard painter, but also one of the most investigated and iconographically debated. Art historians have proposed different readings of this work, from those they consider the objects surrounding Amor symbols that refer to the arts of the quadrivium, but incompletely; others that make it generically included among the emblematic paintings or connect it to the patron whose intellectual and military qualities it would exalt; still others connect it to the Trionfi of Petrarch or to the poetry of the same period, or give it a soteric value linked to the reformed Catholic doctrines; finally, some identify a homoerotic matrix linked to the author or even to the client's environment. In this article, starting from some readings already advanced by critics over time, a reading closely linked to classical poetry is proposed, considering Merisi's painting the pictura of an emblem, to which a precise lemma would be connected, identified in the well-known couplet by Marzio Milesi and a broader epigramma, instead identified in a well-known Latin elegiac passage, which the observers of the time could have easily identified. A reading that would also present a profound moral value directly linked to the Catholic doctrine that distinguishes antecedent concupiscence from consequent concupiscence
Pengolahan Citra Digital untuk Keyboard Virtual Sebagai Antarmuka pada Aplikasi Berbasis Web
Get PDFSince the first computer was founded, keyboard is always been a primary tool for interaction between humans and computers. Today, many computers use image processing technology to make interaction between computers and humans.The author try to apply image processing technology that implemented to virtual keyboard on web application. Using a webcam to capture the tip of index finger and the results will be sent to the localhost server for processing with image processing. Using Haar Cascade Classifier method to detect the tip of index finger, it will produce coordinates that sent to the web application and it used as a reference for determining button positions on virtual keyboard. Virtual keyboard characters will display after appointed by the tip of index finger.From testing results, optimal distance from index finger to webcam is 20 – 35 cm. System can recognize the tip of index finger on white background and room with few furnitures. Average response time for displaying virtual keyboard sentences is 3 minutes and 28.838 seconds. So the virtual keyboard on this system was not able to be used as interface on web application, because it difficult to use in directing the tip of index finger to the character keys
Klasifikasi Varietas Tanaman Kelengkeng Berdasarkan Morfologi Daun Menggunakan Backpropagation Neural Network dan Probabilistic Neural Network
Get PDFPengenalan daun memainkan peran penting dalam klasifikasi tanaman dan isu utamanya terletak pada apakah fitur yang dipilih stabil dan memiliki kemampuan yang baik untuk membedakan berbagai jenis daun. Pengenalan tanaman berbantuan komputer merupakan tugas yang masih sangat menantang dalam visi komputer karena kurangnya model atau skema representasi yang tepat. Fokus komputerisasi pengenalan tanaman hidup adalah untuk mengukur bentuk geometris berbasis morfologi daun. Informasi ini memainkan peran penting dalam mengidentifikasi berbagai kelas tanaman. Pada penelitian ini dilakukan pengenalan jenis tanaman berdasarkan fitur yang menonjol dari daun seperti fisiologis panjang (physiological length), lebar (physiological width), diameter, keliling (leaf perimeter), luas (leaf area), faktor mulus (narrow factor), rasio aspek (aspect ratio), factor bentuk (form factor), rectangularity, rasio perimeter terhadap diameter, rasio perimeter panjang fisiologi dan lebar fisiologi yang dapat digunakan untuk membedakan satu sama lain. Berdasarkan hasil pengujian, ditunjukkan bahwa hasil pencocokkan daun kelengkeng dengan menggunakan neural network lebih baik dibandingkan dengan hasil pencocokkan daun kelengkeng dengan menggunakan probabilistic neural network. Akan tetapi ekstraksi fitur dengan menggunakan morfologi belum dapat memberikan informasi pembeda yang signifikan bagi pengenalan tanaman varitas kelengkeng berdasarkan daunnya.
Keywords— klasifikasi, morfologi daun, neural network, probabilistic neural networ
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